DocumentCode :
1632334
Title :
DOA estimation of nonstationary sources with time-frequency maximum likelihood method
Author :
Tian, Da ; Huang, Keji ; Chen, Tianqi
Author_Institution :
Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
2
fYear :
2004
Firstpage :
835
Abstract :
Direction finding of nonstationary signals using an antenna array is of growing interest in. the signal processing community. We develop a time-frequency maximum likelihood method based on cross pseudo Wigner-Ville distributions (PWVDs) between the array signal vector and the satellite sensor output to obtain the DOA estimates. Compared with methods based on STFD (spatial time-frequency distribution) matrices, the proposed method can make full use of the crossterm TFDs between sources, and signal selective direction finding can be realized with much simpler computation. Moreover, the proposed method can handle signals with the same time-frequency signature. Numerical simulations are provided to demonstrate the validity of the method.
Keywords :
Wigner distribution; antenna arrays; array signal processing; direction-of-arrival estimation; matrix algebra; maximum likelihood estimation; radio direction-finding; time-frequency analysis; DOA estimation; antenna array; array signal vector; cross pseudo Wigner-Ville distributions; crossterm time-frequency distributions; nonstationary sources; satellite sensor output; signal selective direction finding; spatial time-frequency distribution matrices; time-frequency maximum likelihood method; time-frequency signature; Antenna arrays; Array signal processing; Direction of arrival estimation; Directive antennas; Distributed computing; Maximum likelihood estimation; Numerical simulation; Satellites; Sensor arrays; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Print_ISBN :
0-7803-8647-7
Type :
conf
DOI :
10.1109/ICCCAS.2004.1346310
Filename :
1346310
Link To Document :
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